| Title: |
Alquist: The Alexa Prize Socialbot |
| Authors: |
Pichl, Jan, Marek, Petr, Konrád, Jakub, Matulík, Martin, Nguyen, Hoang Long, Šedivý, Jan |
| Publication Year: |
2018 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Computation and Language |
| More Details: |
This paper describes a new open domain dialogue system Alquist developed as part of the Alexa Prize competition for the Amazon Echo line of products. The Alquist dialogue system is designed to conduct a coherent and engaging conversation on popular topics. We are presenting a hybrid system combining several machine learning and rule based approaches. We discuss and describe the Alquist pipeline, data acquisition, and processing, dialogue manager, NLG, knowledge aggregation and hierarchy of sub-dialogs. We present some of the experimental results. |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/1804.06705 |
| Accession Number: |
edsarx.1804.06705 |
| Database: |
arXiv |
